Given my experience while employed at Cycorp, I would say that there are two 
ways to work with them.  The first way is to collaborate with Cycorp on a 
sponsored project.  Collaborators are mainly universities (e.g. CMU & Stanford) 
and established research companies (e.g. SRI & SAIC) who have a track record of 
receiving government grants, and whose technologies are complementary to Cyc.   
I would not suggest this approach for MindPixel 2 yet.

The second approach involves no exchange of money.  Cycorp wants to promote its 
ontology - its commonsense vocabulary, and has released its definitions with a 
very permisive license as OpenCyc.  One can also obtain nearly the entire Cyc 
knowledge base with a Research Cyc license for research purposes without fee, 
but with the RCyc license you are not allowed to extract facts and rules for 
MindPixel 2.  

You could contact the Cyc Foundation, which is an independent organization run 
by a friend of mine and former Cycorp employee.  They are seeking to add 
knowledge to Cyc by using volunteers and I  believe that they would be very 
receptive to MindPixel 2 provided it uses a form of the OpenCyc vocabulary for 
knowledge representation.

I suggest obtaining an RCyc license to see how the Cyc inference engine handles 
large rule and fact sets, and to see if the Cyc vocabulary fits your idea of a 
commonsense representation language.


----- Original Message ----
From: Benjamin Goertzel <[EMAIL PROTECTED]>
To: agi@v2.listbox.com
Sent: Friday, January 19, 2007 5:35:51 PM
Subject: Re: [agi] Project proposal: MindPixel 2

Hi,

> Do you think Cyc has a rule/fact like "wet things can usually conduct
> electricity" (or "if X is wet then X may conduct electricity")?

Yes, it does...

> I'll also contact some Cyc folks to see if they're interested in
> collaborating...

IMO, to have any chance of interesting them, you will need to be able
to explain to them VERY CLEARLY why your current proposed approach is
superior to theirs -- given that it seems so philosophically similar
to theirs, and given that they have already encoded millions of
knowledge items and built an inference engine and language-processing
front end!

-- Ben G

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